Tropical instability wave early warning method and device based on temporal-spatial cross-scale attention fusion

A tropical instability wave early warning device based on temporal-spatial cross-scale attention fusion, comprising:

• a module for generating multi-scale spatial data, configured to up-sample and down-sample temporal-spatial data of sea surface temperatures by convolutional and deconvolutional networks based on two-dimensional sea surface temperature images at all moments and all positions to generate the multi-scale spatial data;
• a module for calculating a regularization loss, configured to input the multi-scale spatial data into corresponding branch networks to calculate feature maps under corresponding scales, and calculate the regularization loss;
• an optimization training module, configured to perform cross-scale spatial map fusion on the multi-scale feature maps by a bilateral local attention mechanism, generate a global feature description map, calculate a prediction loss by the global feature description map, and combine the prediction loss and the regularization loss for optimization training of neural networks;
• and
• a module for early warning of tropical instability waves, configured to predict a sea surface temperature at a moment T based on the optimally trained neural networks, select data at K moments before the moment T and input the data into the optimally trained neural networks, output a predicted value of the tropical instability waves by the optimally trained neural networks, and draw a temporal-spatial image of the tropical instability waves by associating the predicted value with coordinates, so as to achieve early warning of the tropical instability waves.